Khan, S. ., Phan, B. T., Salay, R. ., & Czarnecki, K. . (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. Presented at the. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)
Reference author: Rick Salay
First name
Rick
Last name
Salay
Colwell, I. ., Phan, B. T., Saleem, S. ., Salay, R. ., & Czarnecki, K. . (2018). An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain. An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain. Presented at the.
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Czarnecki, K. ., & Salay, R. . (2018). Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. Presented at the. Väster\r as, Sweden: Springer. (Original work published 2018)
Vernekar, S. ., Gaurav, A. ., Abdelzad, V. ., Denouden, T. ., Salay, R. ., & Czarnecki, K. . (2019). Out-of-distribution Detection in Classifiers via Generation. Out-of-Distribution Detection in Classifiers via Generation. Presented at the. https://sites.google.com/view/neurips19-safe-robust-workshop. Retrieved from https://drive.google.com/file/d/0B3mY6u_lryzdel9WOW1XTVA0aDIwazJDcG9ORlZrZWFOd0xJ/view (Original work published 2019)
Salay, R. ., Czarnecki, K. ., Alvarez, I. ., Elli, M. S., Sedwards, S. ., & Weast, J. . (2020). PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML. PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety With ML. Presented at the. New York: CEUR.
Vernekar, S. ., Gaurav, A. ., Denouden, T. ., Phan, B. T., Abdelzad, V. ., Salay, R. ., & Czarnecki, K. . (2019). Analysis of Confident-Classifiers for Out-of-Distribution Detection. Analysis of Confident-Classifiers for Out-of-Distribution Detection. Presented at the. Retrieved from https://drive.google.com/uc?export=download\&id=1AY0zFvQ_u1UmGcn0bHs1XCWX9QncaqvT (Original work published 2019)
Phan, B. T., Khan, S. ., Salay, R. ., & Czarnecki, K. . (2019). Bayesian Uncertainty Quantification with Synthetic Data. Bayesian Uncertainty Quantification With Synthetic Data. Presented at the. Turku, Finland: SAFECOMP. Retrieved from https://www.waise.org/ (Original work published 2019)